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  • A framework for the economic analysis of data collection methods for vital statistics

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    99248_1.pdf (386.0Kb)
    Author(s)
    Jimenez-Soto, Eliana
    Hodge, Andrew
    Nguyen, Kim-Huong
    Dettrick, Zoe
    Lopez, Alan D
    Griffith University Author(s)
    Nguyen, Kim-Huong
    Year published
    2014
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    Abstract
    Background Over recent years there has been a strong movement towards the improvement of vital statistics and other types of health data that inform evidence-based policies. Collecting such data is not cost free. To date there is no systematic framework to guide investment decisions on methods of data collection for vital statistics or health information in general. We developed a framework to systematically assess the comparative costs and outcomes/benefits of the various data methods for collecting vital statistics. Methodology The proposed framework is four-pronged and utilises two major economic approaches to ...
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    Background Over recent years there has been a strong movement towards the improvement of vital statistics and other types of health data that inform evidence-based policies. Collecting such data is not cost free. To date there is no systematic framework to guide investment decisions on methods of data collection for vital statistics or health information in general. We developed a framework to systematically assess the comparative costs and outcomes/benefits of the various data methods for collecting vital statistics. Methodology The proposed framework is four-pronged and utilises two major economic approaches to systematically assess the available data collection methods: cost-effectiveness analysis and efficiency analysis. We built a stylised example of a hypothetical low-income country to perform a simulation exercise in order to illustrate an application of the framework. Findings Using simulated data, the results from the stylised example show that the rankings of the data collection methods are not affected by the use of either cost-effectiveness or efficiency analysis. However, the rankings are affected by how quantities are measured. Conclusion There have been several calls for global improvements in collecting useable data, including vital statistics, from health information systems to inform public health policies. Ours is the first study that proposes a systematic framework to assist countries undertake an economic evaluation of DCMs. Despite numerous challenges, we demonstrate that a systematic assessment of outputs and costs of DCMs is not only necessary, but also feasible. The proposed framework is general enough to be easily extended to other areas of health information.
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    Journal Title
    PloS One
    Volume
    9
    Issue
    8
    DOI
    https://doi.org/10.1371/journal.pone.0106234
    Copyright Statement
    © 2014 Jimenez-Soto et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License CCAL. (http://www.plos.org/journals/license.html)
    Subject
    Medical and Health Sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/65523
    Collection
    • Journal articles

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